Analytics - Python/Predictive Modelling

Analytics - Python/Predictive Modelling


Indiana, United States
3 Positions
Salary/Rate: 65-75/hr C2C
Date Posted: 24 May, 2018
Lead Views: 12

Lead Description

Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software. This role requires:

- Data exploration, mathematical/statistical modelling, data analysis and hypothesis testing.

- Design, development and deployment of Predictive models and frameworks.

- Complex statistical concepts are explained in a way that clients can understand and advice on strategy.


- Manage a team of Business Analysts.

- Lead team members, including personal development and set work direction.

- Group development by building expertise in new domains and processes.

- Coaching and mentoring team members.

- Responsible for productivity, utilization and quality of output of the group.

- Development of training modules and imparting training to the group.

- Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modelling.

- Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.

- Design and build dashboards and other visualizations in BI tools.

- Should be able to handle assigned tasks in the capacity of individual contributor.

- Demonstrate excellent teamwork.

- Collaborate with other data analysts to provide development coverage, support, and knowledge sharing and mentoring of junior team members.

Education & Skills Summary

- Bachelors in Computer Science/ Engineering, Statistics, Math or related quantitative degree or equivalent work experience. 



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Lead Details

  • Contract Type
    Tier 1
  • Payroll Type
  • Employment Status
  • Job Id
  • Location
  • Industry
    IT Software-Othee
  • Positions
  • Career Level
  • Experience
    5-8 Years
  • Gender
  • Country
    United States
  • State

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